[nltk_data] Downloading package stopwords to /root/nltk_data...
[nltk_data]   Unzipping corpora/stopwords.zip.

Rewards Analytics and Distribution Dashboard for Quantification Review¶

This document processes the outputs of the praise reward system and performs an analysis of the resulting token reward distribution.

Out[6]:

Distribution report for round-47

  • This period covers praise given between 2024-10-01 and 2024-10-31.
  • We allocated a total of 26293.333333333332 TEC tokens for rewards.
  • Duplicate praise received a weighting of 0.1 the value of the original praise.
  • We assigned 3 quantifiers per praise instance.
  • Praise receiver names were not hidden behind pseudonyms during quantification

Praise Data Visualization¶

Rating distribution¶

Since praise gets valued on a scale, we can take a look at how often each value of the scale gets assigned by quantifiers. Note: This metric disregards scores of praise marked as a duplicate, since the score of the original is already being taken into account.

Top 10 highest rated contributions¶

The ten highest rated contributions for this round were the following:

Out[9]:
Avg. score To Reason
77.6666666666667 hanners717#0 for holding my biannual buddy call, which lasted almost 2 hours! Thank you for going through my self-review answers, asking clarifying questions to help me explain better, reading all my peer feedback, and giving great tips and practical advice on the next steps I can take to improve professionally and personally. I also want to take this moment to really thank you for being such a great buddy! For always checking in on me and genuinely caring about my well-being.
70.6666666666667 griffgreen#0 for the smooth coordination on payment processing, ensuring he reviews all entries promptly and thoroughly. His attention to detail and quick responses make the whole process run efficiently. Thank you for the great team work!
66.3333333333333 carlos096 for dilligently taking the time to respond to all incidents and doing thorough investigations on the back-end to see potential issues and liaising with others to get closer to finding the root problems
66.3333333333333 karmaticacid#0 for doing September hours confirmation, reaching out to contributors for proper classification and timing, and for their patience and quick turnaround in reviewing their team's monthly hours report—ensuring accuracy before payment disbursement. This important step ensures that we pay contributors correctly and record expenses properly. 🙏🏽
59.3333333333333 griffgreen#0 for doing September hours confirmation, reaching out to contributors for proper classification and timing, and for their patience and quick turnaround in reviewing their team's monthly hours report—ensuring accuracy before payment disbursement. This important step ensures that we pay contributors correctly and record expenses properly. 🙏🏽
59.3333333333333 geleeroyale for finding the problem for why USDT transfers were not working on mainnet and implement a solution
59.3333333333333 hanners717#0 for going above and beyond by sending me detailed post-buddy review session notes, including an outline of suggested next steps to improve professionally, and recommending courses I could take. She even ChatGPTed on my behalf to suggest ways to improve my communication skills! I truly appreciate the thoughtfulness and support! 🫶🏼
59.3333333333333 griffgreen#0 for coordinating async with me to process this month's contributor payments. Thank you so much for responding, despite dealing with the floods and all the challenges that come with it. I really hope you stay safe and hydrated! 🙏
55.0 koday.eth for doing the data analysis and get the forum post up for the giv-a-palooza round in great time
55.0 marcelorefi for his fast moving, head on right type of grant assistance for Giveth. He never complains, he is always looking for solutions and answers. And now that his animals are waking him up earlier in the day, i get even more time with him 🐥

Praise Reward Distribution¶

We can now take a look at the distribution of the received praise rewards. You can toggle the inclusion of the different sources by clicking on the legend.

Praise Giving Distribution¶

We can also take a look at the amount of praise different users gave.

Praise Flows¶

Now for something more fun: let's surface the top "praise flows" from the data. Thanks to @inventandchill for this awesome visualization! On one side we have the top 15 praise givers separately, on the other the top 25 receivers. The people outside the selection get aggregated into the "REST FROM" and "REST TO" categories.

Out[13]:

Quantifier Data¶

Now let's take a closer look at the quantification process and the quantifiers:

Praise Outliers¶

To aid the revision process, we highlight disagreements between quantifiers.

Outliers sort by spreads¶

This graphic visualizes controversial praise ratings by sorting them by the "spread" between the highest and lowest received score.

Please keep in mind that this is a visual aid. If there are several praise instances with similar spread and quant score, all but one end up "hidden" on the chart. For an exhaustive list, take a look at the exported file "praise_outliers.csv" .

Praise score by quantifier -- outliers among the quantifiers?¶

Let's see how different quantifiers behaved by showing the range of praise scores they gave.

To interpret the box plot:

  • Bottom horizontal line of box plot is minimum value

  • First horizontal line of rectangle shape of box plot is First quartile or 25%

  • Second horizontal line of rectangle shape of box plot is Second quartile or 50% or median.

  • Third horizontal line of rectangle shape of box plot is third quartile or 75%

  • Top horizontal line of rectangle shape of box plot is maximum value.

Score displacement: tendency to under/over-scoring?¶

Scoring correlation: how similiar am I scoring with others?¶

Agreement on duplication¶

Out[22]:

Among 170 praises, 6 (3.53%) do not agree on duplication

Praise instances with disagreements in duplication are collected in 'results/duplication_examination.csv'. To compare, look at the last 4 columns: 'DUPLICATE MSG 1/2/3' and 'ORIGINAL MSG'.

Agreement on dismissal¶

Out[25]:

Among 170 praises, 0 (0.00%) do not agree on dismissal

Praise instances with disagreements in dismissal are collected in'results/dismissal_disaggreed.csv'. You can further look into who dismissed and who did not.